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SEO August 25, 2026 ยท 3 min read

This API vs ScrapingBee vs Firecrawl vs BuiltWith: an honest comparison

Hello DEV Community! ๐Ÿ‘‹ "Just use ScrapingBee" or "just use Firecrawl" comes up a lot when someone...

This API vs ScrapingBee vs Firecrawl vs BuiltWith: an honest comparison

"Just use ScrapingBee" or "just use Firecrawl" comes up a lot when someone asks how to pull structured data from a URL โ€” but those are full scraping platforms with headless-browser pricing to match, and sometimes what you actually need is a lot simpler: SEO tags, detected tech stack, public contact signals, and a security-header grade for a normal, server-rendered page.

I maintain the Web Metadata & Contact Extractor API, and I kept getting asked "how is this different from ScrapingBee / Firecrawl / BuiltWith?" โ€” so instead of a vague answer, I actually checked pricing pages and wrote down the honest comparison. No "we're better at everything" spin: these four tools solve overlapping but genuinely different problems.

Prices/limits below checked live in August 2026. Re-verify before relying on exact numbers โ€” pricing pages change.

| Tool | What it actually is | JS rendering? | Crawls a whole site? | |---|---|---|---| | This API | Fast metadata/SEO/contact/tech-stack extractor for one URL at a time | โŒ No โ€” reads server HTML only | โŒ No โ€” one URL in, one JSON out | | ScrapingBee | General-purpose scraping API with a real headless browser | โœ… Yes โ€” full Chrome, clicks/scrolls/forms | โŒ No built-in crawler, but handles single complex pages | | Firecrawl | Scraping + crawling API built for feeding LLMs/RAG pipelines | โœ… Yes | โœ… Yes โ€” follows links, crawls domains | | BuiltWith | Technology-profiling database + lead/contact export tool | N/A โ€” it's a lookup database, not a live fetcher | N/A โ€” queries its own crawled index |

If you need to click through a login form, scroll infinite-scroll content, or get past a JS challenge: this API is the wrong tool โ€” go use ScrapingBee or Firecrawl. My own docs say so directly, see "Honest Limitations" in the README.

If you need one fast, structured answer for an ordinary page โ€” without paying for a headless browser you don't need โ€” that's the actual use case here.

| | Free tier | Cheapest paid plan | What it buys | |---|---|---|---| | This API | 1,000 requests/mo | $5.99/mo (Pro) | 50,000 requests/mo + email support | | ScrapingBee | 1,000 credits (trial, no card) | $49/mo (Freelance) | 250,000 credits/mo, 50 concurrent requests | | Firecrawl | 1,000 credits/mo (forever) | $16/mo (Hobby, billed yearly) | 5,000 credits/mo | | BuiltWith | None | $295/mo (Basic) | 2 technology/keyword/retail lookups, 1 login |

Two takeaways, not marketing spin: This API is dramatically cheaper per request than ScrapingBee or BuiltWith โ€” because it does less. No JS execution, no headless browser, no crawler. Comparing $5.99/mo to $49/mo only makes sense once you've confirmed your target pages don't need JS rendering. BuiltWith isn't really a live-extraction competitor at all โ€” it's a historical technology database you query ($295/mo minimum, no free tier), not a "fetch this URL right now" tool.

When each one actually wins This API โ€” normal server-rendered pages (blogs, marketing sites, product pages, GitHub, Wikipedia-style sites), when you want SEO metadata + tech stack + public contacts + security headers + SEO score in one ~150-300ms call. Free tier, 1,000 req/mo, no card required. ScrapingBee โ€” pages that need real browser interaction: logins, infinite scroll, clicks, screenshots, JS-scenario scripting. $49/mo floor. Firecrawl โ€” crawling a whole site (not just one URL) into clean Markdown for an LLM/RAG pipeline, with a real always-free tier for testing. BuiltWith โ€” historical tech-stack data across large domain lists, plus exportable contact/lead lists, if $295/mo+ fits the budget for that specific use case.

None of these turn "public email/phone found on a page" into verified company/people intelligence. My /api/v1/contacts endpoint is deliberately named "Contact Discovery," not "Lead Enrichment" โ€” it returns raw signals, you still build the verification layer on top. That's true regardless of which extraction tool you start from.

Curious what you all think โ€” especially if you've hit the JS-rendering wall with a similar "lightweight extractor" approach. Happy to be told I'm missing an angle here.

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